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|
%global _empty_manifest_terminate_build 0
Name: python-gs-quant
Version: 0.9.100
Release: 1
Summary: Goldman Sachs Quant
License: http://www.apache.org/licenses/LICENSE-2.0
URL: https://marquee.gs.com
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d7/55/401ac871981c1617f602edbb4d1e0888236e28426c549381232207636e8e/gs_quant-0.9.100.tar.gz
BuildArch: noarch
Requires: python3-asteval
Requires: python3-aenum
Requires: python3-backoff
Requires: python3-cachetools
Requires: python3-certifi
Requires: python3-dataclasses-json
Requires: python3-deprecation
Requires: python3-funcsigs
Requires: python3-inflection
Requires: python3-lmfit
Requires: python3-more-itertools
Requires: python3-msgpack
Requires: python3-nest-asyncio
Requires: python3-opentracing
Requires: python3-pandas
Requires: python3-pydash
Requires: python3-dateutil
Requires: python3-requests
Requires: python3-tqdm
Requires: python3-websockets
Requires: python3-dataclasses
Requires: python3-scipy
Requires: python3-statsmodels
Requires: python3-typing
Requires: python3-scipy
Requires: python3-statsmodels
Requires: python3-scipy
Requires: python3-wheel
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-sphinx-autodoc-typehints
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-mock
Requires: python3-pytest-ordering
Requires: python3-testfixtures
Requires: python3-gs-quant-internal
Requires: python3-jupyter
Requires: python3-matplotlib
Requires: python3-seaborn
Requires: python3-treelib
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-mock
Requires: python3-pytest-ordering
Requires: python3-testfixtures
Requires: python3-nbconvert
Requires: python3-nbformat
Requires: python3-jupyter-client
Requires: python3-quant-extensions
%description
# GS Quant
**GS Quant** is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets.
It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications.
Please refer to [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/) for additional information.
## Requirements
* Python 3.6 or greater
* Access to PIP package manager
## Installation
```
pip install gs-quant
```
## Examples
You can find examples, guides and tutorials in the respective folders as well as on [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/).
## Contributions
Contributions are encouraged! Please see CONTRIBUTING.MD for more details.
## Help
Please reach out to `gs-quant@gs.com` with any questions, comments or feedback.
%package -n python3-gs-quant
Summary: Goldman Sachs Quant
Provides: python-gs-quant
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-gs-quant
# GS Quant
**GS Quant** is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets.
It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications.
Please refer to [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/) for additional information.
## Requirements
* Python 3.6 or greater
* Access to PIP package manager
## Installation
```
pip install gs-quant
```
## Examples
You can find examples, guides and tutorials in the respective folders as well as on [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/).
## Contributions
Contributions are encouraged! Please see CONTRIBUTING.MD for more details.
## Help
Please reach out to `gs-quant@gs.com` with any questions, comments or feedback.
%package help
Summary: Development documents and examples for gs-quant
Provides: python3-gs-quant-doc
%description help
# GS Quant
**GS Quant** is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms. Designed to accelerate development of quantitative trading strategies and risk management solutions, crafted over 25 years of experience navigating global markets.
It is created and maintained by quantitative developers (quants) at Goldman Sachs to enable the development of trading strategies and analysis of derivative products. GS Quant can be used to facilitate derivative structuring, trading, and risk management, or as a set of statistical packages for data analytics applications.
Please refer to [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/) for additional information.
## Requirements
* Python 3.6 or greater
* Access to PIP package manager
## Installation
```
pip install gs-quant
```
## Examples
You can find examples, guides and tutorials in the respective folders as well as on [Goldman Sachs Developer](https://developer.gs.com/docs/gsquant/).
## Contributions
Contributions are encouraged! Please see CONTRIBUTING.MD for more details.
## Help
Please reach out to `gs-quant@gs.com` with any questions, comments or feedback.
%prep
%autosetup -n gs-quant-0.9.100
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-gs-quant -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.100-1
- Package Spec generated
|
